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The voice synthesis business: 2022 update
被引:3
|作者:
Dale, Robert
[1
]
机构:
[1] Language Technol Grp, Sydney, NSW, Australia
关键词:
Speech synthesis;
D O I:
10.1017/S1351324922000146
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
In the past few years, high-quality automated text-to-speech synthesis has effectively become a commodity, with easy access to cloud-based APIs provided by a number of major players. At the same time, developments in deep learning have broadened the scope of voice synthesis functionalities that can be delivered, leading to a growth in the range of commercially viable use cases. We take a look at the technology features and use cases that have attracted attention and investment in the past few years, identifying the major players and recent start-ups in the space.
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页码:401 / 408
页数:8
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